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Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics
Single-cell RNA sequencing (scRNA-seq) is a powerful tool to profile the transcriptomes of a large number of individual cells at a high resolution. These data usually contain measurements of gene expression for many genes in thousands or tens of thousands of cells, though some datasets now reach the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417816/ https://www.ncbi.nlm.nih.gov/pubmed/30963075 |